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Data Engineer

ConsultNet · SALT LAKE CITY, UT

100100

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Data Engineer at ConsultNet. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Data Engineer

Salt Lake City, UT (Onsite2-3 days per week/Hybrid)

Contract Rate

$45.00 - $55.00per hr.

Contract Duration

Up to 3 Years

We are seeking a Data Engineer to help modernize the ingestion and harmonization of healthcare data from multiple sources. This role will build reliable, scalable pipelines that prepare data for analytics, research, cloud enablement, and AI-focused use cases.

Key Responsibilities

  • Design, build, and maintain data-ingestion pipelines from multiple source systems.
  • Harmonize and standardize records from varied datasets and formats.
  • Improve current ingestion processes to make them more efficient, accurate, repeatable, and scalable.
  • Build resilient pipelines that can accommodate source-data changes, including added, removed, or revised fields.
  • Collaborate with data architects to implement data models and standards.
  • Support the creation of well-structured datasets for research, analytics, and cloud-based consumption.
  • Develop automated data-quality, validation, and monitoring processes.
  • Participate in unit and regression testing of data pipelines and datasets.

Required Qualifications

  • Experience building and supporting ETL/ELT or data-ingestion pipelines.
  • Strong SQL skills and experience working with relational databases.
  • Experience integrating data from multiple systems and managing changing source schemas.
  • Experience with data validation, data quality, and testing practices.
  • Ability to translate architecture and business requirements into scalable technical solutions.

Preferred Qualifications

  • Healthcare data experience.
  • Familiarity with healthcare data standards, record normalization, or interoperability concepts.
  • Experience with Python or other data-engineering programming languages.
  • Experience supporting cloud-based data platforms or downstream analytics environments.
  • Experience preparing datasets for advanced analytics, machine learning, or AI applications.

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